Literature DB >> 33691027

What about the environment? Leveraging multi-omic datasets to characterize the environment's role in human health.

Kristin Passero1, Shefali Setia-Verma, Kimberly McAllister, Arjun Manrai, Chirag Patel, Molly Hall.   

Abstract

The environment plays an important role in mediating human health. In this session we consider research addressing ways to overcome the challenges associated with studying the multifaceted and ever-changing environment. Environmental health research has a need for technological and methodological advances which will further our knowledge of how exposures precipitate complex phenotypes and exacerbate disease.

Year:  2021        PMID: 33691027      PMCID: PMC8323787     

Source DB:  PubMed          Journal:  Pac Symp Biocomput        ISSN: 2335-6928


  15 in total

Review 1.  Embracing Complex Associations in Common Traits: Critical Considerations for Precision Medicine.

Authors:  Molly A Hall; Jason H Moore; Marylyn D Ritchie
Journal:  Trends Genet       Date:  2016-08       Impact factor: 11.639

2.  The dynamics of the human infant gut microbiome in development and in progression toward type 1 diabetes.

Authors:  Aleksandar D Kostic; Dirk Gevers; Heli Siljander; Tommi Vatanen; Tuulia Hyötyläinen; Anu-Maaria Hämäläinen; Aleksandr Peet; Vallo Tillmann; Päivi Pöhö; Ismo Mattila; Harri Lähdesmäki; Eric A Franzosa; Outi Vaarala; Marcus de Goffau; Hermie Harmsen; Jorma Ilonen; Suvi M Virtanen; Clary B Clish; Matej Orešič; Curtis Huttenhower; Mikael Knip; Ramnik J Xavier
Journal:  Cell Host Microbe       Date:  2015-02-05       Impact factor: 21.023

3.  Exposome informatics: considerations for the design of future biomedical research information systems.

Authors:  Fernando Martin Sanchez; Kathleen Gray; Riccardo Bellazzi; Guillermo Lopez-Campos
Journal:  J Am Med Inform Assoc       Date:  2013-11-01       Impact factor: 4.497

4.  Using machine learning to identify air pollution exposure profiles associated with early cognitive skills among U.S. children.

Authors:  Jeanette A Stingone; Om P Pandey; Luz Claudio; Gaurav Pandey
Journal:  Environ Pollut       Date:  2017-07-18       Impact factor: 8.071

5.  Comprehensive study of the exposome and omic data using rexposome Bioconductor Packages.

Authors:  Carles Hernandez-Ferrer; Gregory A Wellenius; Ibon Tamayo; Xavier Basagaña; Jordi Sunyer; Martine Vrijheid; Juan R Gonzalez
Journal:  Bioinformatics       Date:  2019-12-15       Impact factor: 6.937

6.  Revealing disease-associated pathways by network integration of untargeted metabolomics.

Authors:  Leila Pirhaji; Pamela Milani; Mathias Leidl; Timothy Curran; Julian Avila-Pacheco; Clary B Clish; Forest M White; Alan Saghatelian; Ernest Fraenkel
Journal:  Nat Methods       Date:  2016-08-01       Impact factor: 28.547

Review 7.  Human Indoor Exposome of Chemicals in Dust and Risk Prioritization Using EPA's ToxCast Database.

Authors:  Ting Dong; Yingdan Zhang; Shenglan Jia; Hongtao Shang; Wenjuan Fang; Da Chen; Mingliang Fang
Journal:  Environ Sci Technol       Date:  2019-05-28       Impact factor: 9.028

8.  Construction of environmental risk score beyond standard linear models using machine learning methods: application to metal mixtures, oxidative stress and cardiovascular disease in NHANES.

Authors:  Sung Kyun Park; Zhangchen Zhao; Bhramar Mukherjee
Journal:  Environ Health       Date:  2017-09-26       Impact factor: 5.984

9.  Filtering procedures for untargeted LC-MS metabolomics data.

Authors:  Courtney Schiffman; Lauren Petrick; Kelsi Perttula; Yukiko Yano; Henrik Carlsson; Todd Whitehead; Catherine Metayer; Josie Hayes; Stephen Rappaport; Sandrine Dudoit
Journal:  BMC Bioinformatics       Date:  2019-06-14       Impact factor: 3.169

10.  Dynamic Human Environmental Exposome Revealed by Longitudinal Personal Monitoring.

Authors:  Chao Jiang; Xin Wang; Xiyan Li; Jingga Inlora; Ting Wang; Qing Liu; Michael Snyder
Journal:  Cell       Date:  2018-09-20       Impact factor: 41.582

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